Patents by Inventor Andrei Polzounov

Andrei Polzounov has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Semantic Segmentation to Identify and Treat Plants in a Field and Verify the Plant Treatments
    Publication number: 20230076562
    Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.
    Type: Application
    Filed: November 11, 2022
    Publication date: March 9, 2023
    Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chia-Chun Fu, Chris Padwick
  • Semantic segmentation to identify and treat plants in a field and verify the plant treatments
    Patent number: 11514671
    Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.
    Type: Grant
    Filed: June 4, 2020
    Date of Patent: November 29, 2022
    Assignee: BLUE RIVER TECHNOLOGY INC.
    Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chia-Chun Fu, Chris Padwick
  • Semantic Segmentation to Identify and Treat Plants in a Field and Verify the Plant Treatments
    Publication number: 20200302170
    Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.
    Type: Application
    Filed: June 4, 2020
    Publication date: September 24, 2020
    Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chia-Chun Fu, Chris Padwick
  • Semantic segmentation to identify and treat plants in a field and verify the plant treatments
    Patent number: 10713484
    Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.
    Type: Grant
    Filed: September 10, 2018
    Date of Patent: July 14, 2020
    Assignee: Blue River Technology Inc.
    Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chia-Chun Fu, Chris Padwick
  • Semantic Segmentation to Identify and Treat Plants in a Field and Verify the Plant Treatments
    Publication number: 20190362146
    Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.
    Type: Application
    Filed: September 10, 2018
    Publication date: November 28, 2019
    Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chian-Chun Fu, Chris Padwick